Lorenzo Torresani, Ph.D.
Affiliations: | 2005 | Stanford University, Palo Alto, CA |
Area:
Computer ScienceGoogle:
"Lorenzo Torresani"Parents
Sign in to add mentorChristoph Bregler | grad student | 2005 | Stanford | |
(Learning models of human movement from video.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Grauman K, Westbury A, Byrne E, et al. (2024) Ego4D: Around the World in 3,000 Hours of Egocentric Video. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Xian Y, Korbar B, Douze M, et al. (2021) Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Baig MH, Torresani L. (2017) Multiple hypothesis colorization and its application to image compression Computer Vision and Image Understanding. 164: 111-123 |
Baig MH, Torresani L. (2016) Coupled depth learning 2016 Ieee Winter Conference On Applications of Computer Vision, Wacv 2016 |
Tran D, Bourdev L, Fergus R, et al. (2016) Learning spatiotemporal features with 3D convolutional networks Proceedings of the Ieee International Conference On Computer Vision. 11: 4489-4497 |
Tran D, Torresani L. (2016) EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis International Journal of Computer Vision. 119: 239-253 |
Bergamo A, Torresani L. (2014) Classemes and Other Classifier-Based Features for Efficient Object Categorization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1988-2001 |
Hoai M, Torresani L, De La Torre F, et al. (2014) Learning discriminative localization from weakly labeled data Pattern Recognition. 47: 1523-1534 |
Chandrashekar A, Torresani L, Granger R. (2014) Learning what is where from unlabeled images: Joint localization and clustering of foreground objects Machine Learning. 94: 261-279 |
Torresani L, Kolmogorov V, Rother C. (2013) A dual decomposition approach to feature correspondence. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 259-71 |